The optimal deployment model of energy storage systems considering large-scale wind farms connected
| Publication Date: |
2018-05-05
|
|---|---|
| Publisher: |
Institute of Physics (IOP)
|
| Print ISSN: |
1755-1307
|
| Electronic ISSN: |
1755-1315
|
| Topics: |
Geography
Geosciences
Physics
|
| Published by: |
| _version_ | 1836398919011008514 |
|---|---|
| autor | T Yan, M X Zhang, X F Song, B Z Liu and Y Huang |
| beschreibung | In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity. |
| citation_standardnr | 6251699 |
| datenlieferant | ipn_articles |
| feed_id | 108844 |
| feed_publisher | Institute of Physics (IOP) |
| feed_publisher_url | http://www.iop.org/ |
| insertion_date | 2018-05-05 |
| journaleissn | 1755-1315 |
| journalissn | 1755-1307 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | Institute of Physics (IOP) |
| quelle | IOP Conference Series: Earth and Environmental Science |
| relation | http://iopscience.iop.org/1755-1315/146/1/012065 |
| search_space | articles |
| shingle_author_1 | T Yan, M X Zhang, X F Song, B Z Liu and Y Huang |
| shingle_author_2 | T Yan, M X Zhang, X F Song, B Z Liu and Y Huang |
| shingle_author_3 | T Yan, M X Zhang, X F Song, B Z Liu and Y Huang |
| shingle_author_4 | T Yan, M X Zhang, X F Song, B Z Liu and Y Huang |
| shingle_catch_all_1 | The optimal deployment model of energy storage systems considering large-scale wind farms connected In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity. T Yan, M X Zhang, X F Song, B Z Liu and Y Huang Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_2 | The optimal deployment model of energy storage systems considering large-scale wind farms connected In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity. T Yan, M X Zhang, X F Song, B Z Liu and Y Huang Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_3 | The optimal deployment model of energy storage systems considering large-scale wind farms connected In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity. T Yan, M X Zhang, X F Song, B Z Liu and Y Huang Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_4 | The optimal deployment model of energy storage systems considering large-scale wind farms connected In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity. T Yan, M X Zhang, X F Song, B Z Liu and Y Huang Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_title_1 | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| shingle_title_2 | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| shingle_title_3 | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| shingle_title_4 | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| timestamp | 2025-06-30T23:34:43.406Z |
| titel | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| titel_suche | The optimal deployment model of energy storage systems considering large-scale wind farms connected |
| topic | R TE-TZ U |
| uid | ipn_articles_6251699 |